class_docstr: Writes a TransformFn to disk.
  
  The internal structure is a directory containing two subdirectories.  The
  first is 'transformed_metadata' and contains metadata of the transformed data.
  The second is 'transform_fn' and contains a SavedModel representing the
  transformed data.
class_docstr_tok: ["Writes","a","TransformFn","to","disk",".","The","internal","structure","is","a","directory","containing","two","subdirectories",".","The","first","is","'transformed_metadata","'","and","contains","metadata","of","the","transformed","data",".","The","second","is","'transform_fn","'","and","contains","a","SavedModel","representing","the","transformed","data","."]
code: def __init__(self, path):
      super().__init__()
      self._path = path
  
file_path: transform/tensorflow_transform/beam/tft_beam_io/transform_fn_io.py
imports: import os
  import apache_beam
  import tensorflow_transform
  from tensorflow_transform import impl_helper
  from tensorflow_transform.beam import common
  from tensorflow_transform.beam.tft_beam_io import beam_metadata_io
  from tensorflow_transform.tf_metadata import metadata_io
label_desc: Use image node_id 1 to create a new WriteTransformFn object from inherited base classes: beam with example: obj = WriteTransformFn(path)